Evidence map›Paper›PMID 41664480›Full record

ArticleMolecular biology and evolution2026

Mammalian mitochondrial DNA accumulates insertions and deletions with age in energetically demanding tissues.

Edmundo Torres-Gonzalez, Barbara Arbeithuber, Nicholas Stoler, Marzia A Cremona, Omar Shebl, Thomas Ebner, Irene Tiemann-Boege, Francisco J Diaz, Francesca Chiaromonte, Kateryna D Makova

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Edmundo Torres-GonzalezDepartment of Biology, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-8844-2855
Barbara ArbeithuberDepartment of Biology, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-8367-1560
Nicholas StolerDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-2500-963X
Marzia A CremonaCenter for Medical Genomics, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-8899-7316
Omar SheblDepartment of Gynecology, Obstetrics, and Gynecological Endocrinology, Kepler Universitätsklinikum, Linz, Austria.ORCID 0000-0002-8583-6071
Thomas EbnerDepartment of Gynecology, Obstetrics, and Gynecological Endocrinology, Kepler Universitätsklinikum, Linz, Austria.ORCID 0000-0003-1717-1490
Irene Tiemann-BoegeInstitute of Biophysics, Johannes Kepler University, Linz, Austria.ORCID 0000-0002-3621-7020
Francisco J DiazDepartment of Animal Science, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-2875-7393
Francesca ChiaromonteCenter for Medical Genomics, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-5605-9886
Kateryna D MakovaDepartment of Biology, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-6212-9526

Funding

Non-B DNA and Genome EvolutionR35GM151945 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI KATERYNA MAKOVA · 2024 to 2026
$2.6M
The Dynamics of Mitochondrial MutationsR01GM116044 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI MAKOVA, KATERYNA, NIELSEN, RASMUS · 2015 to 2018
$2.4M
Training in genetic and neurobehavioral mechanisms of addictionT32DA050560 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Scott Ian Vrieze · 2020 to 2026
$2.0M
Austrian Science Fund J-4096Austrian Science Fund P30867000Austrian Science Fund SFB F-8809-BEberly College of SciencesNIDA NIH HHS T32 DA050560NIH HHS R01GM116044NIH HHS R35GM151945NSF Graduate Research Fellowship Program DGE1255832PSU T32GM102057UMN T32DA050560Verne M. Willaman endowment fund
6 · The paper itself

Abstract

Mitochondrial function can be affected by mutations in mitochondrial DNA (mtDNA). However, detecting de novo mutations in mtDNA has been challenging due to its high copy number, particularly in germline cells, and the low accuracy of conventional next-generation sequencing technologies. Using highly accurate duplex sequencing, we study the frequency of de novo insertion and deletion (indel) mtDNA mutations across multiple age groups in somatic and germline tissues of three mammalian species-mouse, macaque, and human. We demonstrate that, similar to de novo nucleotide substitutions, indels accumulate rapidly with age in somatic tissues with high energetic demand (brain and skeletal muscle) or high proliferation (liver). However, in oocytes, indels accumulate slower with age than nucleotide substitutions (or do not accumulate at all). The increases in indel frequency with age are driven mostly by deletions. Short tandem repeats are highly enriched for indels, implicating DNA replication slippage as a major driver of indel formation in mtDNA. For some species and tissues, indels are depleted at protein-coding sequences; however, indels that are multiples of 3 bp are not overrepresented. Ours is the most detailed study of de novo small indels in mtDNA to date. It provides parameters for models of mtDNA evolution, informs molecular mechanisms for a multitude of human genetic diseases, and illuminates the accumulation of indel mutations with age. Such accumulation may have functional consequences, as it affects reproduction later in life and drives the decline of mitochondrial function during aging.

Indexed as

AgingDNA, MitochondrialINDEL MutationAnimalsDNA ReplicationFemaleHumansMacacaMiceDNA, Mitochondrialagingde novo mutationsduplex sequencingindelsmtDNAreplication slippage

Identifiers

PMID41664480
PMCPMC12951523

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.